Ruby Peters

SMLMFlow enhances structural resolution in single molecule localization microscopy by combining graph neural networks and hierarchical transformers with flow matching.

This paper introduces a contrastive learning framework for nanoscale spatial-omics, enabling analysis of single-molecule localisation data to study protein architecture and its changes under various conditions.

Nano-org provides a curated resource of single-molecule localisation microscopy data for studying protein nanoscale distributions and their relationships across cell types and conditions.

This paper introduces vortex light field microscopy, achieving 3D spectral single-molecule imaging with 25 nm spatial and 3 nm spectral precision.

The paper identifies dynamic cell surface fluctuations as a key factor in early embryonic lineage sorting, showing that increased surface fluctuations in primitive endoderm precursors drive their segregation from epiblast precursors.

The paper introduces an agent-based model to simulate molecular aggregation at the plasma membrane, showing it can recapitulate observed distributions using simple rules.